Trusting artificial intelligence in cybersecurity is a double-edged sword
Applications of artificial intelligence (AI) for cybersecurity tasks are attracting greater attention from the private and the public sectors. Estimates indicate that the market for AI in cybersecurity will grow from USD1 billion in 2016 to a USD34.8 billion net worth by 2025. The latest national cy...
| Main Authors: | , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
Springer Nature
2019
|
| _version_ | 1797078756271063040 |
|---|---|
| author | Taddeo, M McCutcheon, T Floridi, L |
| author_facet | Taddeo, M McCutcheon, T Floridi, L |
| author_sort | Taddeo, M |
| collection | OXFORD |
| description | Applications of artificial intelligence (AI) for cybersecurity tasks are attracting greater attention from the private and the public sectors. Estimates indicate that the market for AI in cybersecurity will grow from USD1 billion in 2016 to a USD34.8 billion net worth by 2025. The latest national cybersecurity and defence strategies of several governments explicitly mention AI capabilities. At the same time, initiatives to define new standards and certification procedures to elicit users’ trust in AI are emerging on a global scale. However, trust in AI (both machine learning and neural networks) to deliver cybersecurity tasks is a double-edged sword: it can improve substantially cybersecurity practices, but can also facilitate new forms of attacks to the AI applications themselves, which may pose severe security threats. We argue that trust in AI for cybersecurity is unwarranted and that, to reduce security risks, some form of control to ensure the deployment of ‘reliable AI’ for cybersecurity is necessary. To this end, we offer three recommendations focusing on the design, development and deployment of AI for cybersecurity. |
| first_indexed | 2024-03-07T00:36:18Z |
| format | Journal article |
| id | oxford-uuid:8188813d-138e-409d-8686-d2d7d5fa0879 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:36:18Z |
| publishDate | 2019 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | oxford-uuid:8188813d-138e-409d-8686-d2d7d5fa08792022-03-26T21:30:53ZTrusting artificial intelligence in cybersecurity is a double-edged swordJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8188813d-138e-409d-8686-d2d7d5fa0879EnglishSymplectic Elements at OxfordSpringer Nature2019Taddeo, MMcCutcheon, TFloridi, LApplications of artificial intelligence (AI) for cybersecurity tasks are attracting greater attention from the private and the public sectors. Estimates indicate that the market for AI in cybersecurity will grow from USD1 billion in 2016 to a USD34.8 billion net worth by 2025. The latest national cybersecurity and defence strategies of several governments explicitly mention AI capabilities. At the same time, initiatives to define new standards and certification procedures to elicit users’ trust in AI are emerging on a global scale. However, trust in AI (both machine learning and neural networks) to deliver cybersecurity tasks is a double-edged sword: it can improve substantially cybersecurity practices, but can also facilitate new forms of attacks to the AI applications themselves, which may pose severe security threats. We argue that trust in AI for cybersecurity is unwarranted and that, to reduce security risks, some form of control to ensure the deployment of ‘reliable AI’ for cybersecurity is necessary. To this end, we offer three recommendations focusing on the design, development and deployment of AI for cybersecurity. |
| spellingShingle | Taddeo, M McCutcheon, T Floridi, L Trusting artificial intelligence in cybersecurity is a double-edged sword |
| title | Trusting artificial intelligence in cybersecurity is a double-edged sword |
| title_full | Trusting artificial intelligence in cybersecurity is a double-edged sword |
| title_fullStr | Trusting artificial intelligence in cybersecurity is a double-edged sword |
| title_full_unstemmed | Trusting artificial intelligence in cybersecurity is a double-edged sword |
| title_short | Trusting artificial intelligence in cybersecurity is a double-edged sword |
| title_sort | trusting artificial intelligence in cybersecurity is a double edged sword |
| work_keys_str_mv | AT taddeom trustingartificialintelligenceincybersecurityisadoubleedgedsword AT mccutcheont trustingartificialintelligenceincybersecurityisadoubleedgedsword AT floridil trustingartificialintelligenceincybersecurityisadoubleedgedsword |